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يعرض 1 - 20 نتائج من 106 نتيجة بحث عن '(( significant ((force decrease) OR (fold decrease)) ) OR ( significant detection across ))', وقت الاستعلام: 0.13s تنقيح النتائج
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    Diagnostic accuracy of interleukin-6 (IL-6) as a significant biomarker in late-onset neonatal sepsis: an updated systematic review and meta-analysis حسب Amani N. Alansari (19743643)

    منشور في 2025
    "…Interleukin-6 (IL-6) has emerged as a promising biomarker for early detection of LONS, yet the diagnostic performance of IL-6 remains inconsistent across studies. …"
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    IoT empowered smart cybersecurity framework for intrusion detection in internet of drones حسب Syeda Nazia Ashraf (17541222)

    منشور في 2023
    "…In recent years, there has been a significant increase in the utilization of IoT-enabled drone data management technology. …"
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    Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application حسب Abdus Salam (1918387)

    منشور في 2024
    "…However, mulberry trees are highly susceptible to diseases, spreading rapidly and causing significant losses. Manual disease identification across large farms is arduous and time-consuming. …"
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    Toward Adaptive Intrusion Detection Systems for UAVs Using Cyber-Physical Image Analysis حسب Hanane Amirat (23126110)

    منشور في 2025
    "…<p dir="ltr">The rapid proliferation of uncrewed aerial vehicles (UAVs) across modern applications has significantly heightened their susceptibility to cyber and physical security threats. …"
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    Hybrid Classification Approach Utilizing DenseUNet+ for Diabetic Macular Edema Disorder Detection حسب Abualigah, Laith

    منشور في 2024
    "…Diabetic macular edema (DME) poses a significant threat to vision. It is characterized by the enlargement of the macula due to the accumulation of plasma in the extracellular space of the retina. …"
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    A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks حسب THOMAS, RAJESH

    منشور في 2025
    "…These results outperform computationally expensive methods reported in related works, showcasing that the FPAC framework achieves high detection performance with very low overheads while also generalizing effectively across different network attack types. …"
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    Email Spam: A Comprehensive Review of Optimize Detection Methods, Challenges, and Open Research Problems حسب Ekramul Haque Tusher (21324362)

    منشور في 2024
    "…The volume of spam emails is rising rapidly day by day. Detecting and filtering spam presents significant and complex challenges for email systems. …"
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    Laser Direct Infrared Spectroscopy: A cutting-edge approach to microplastic detection in environmental samples حسب Prince Jebedass Isaac Chandran (20483858)

    منشور في 2024
    "…Utilizing a Quantum Cascade Laser (QCL), LDIR offers rapid, sensitive, and automated detection capabilities. It significantly reduces analysis time compared to conventional techniques such as Fourier Transform Infrared (FTIR) and Raman spectroscopic techniques, making it ideal for large-scale environmental monitoring. …"
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    Crowd behavior detection: leveraging video swin transformer for crowd size and violence level analysis حسب Marwa Qaraqe (10135172)

    منشور في 2024
    "…<p dir="ltr">In recent years, crowd behavior detection has posed significant challenges in the realm of public safety and security, even with the advancements in surveillance technologies. …"
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    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

    منشور في 2022
    "…In the next phase, an IRF eliminates the less significant attributes, incorporates a list of decision trees across each iterative process, supervises the classifier’s performance, and prevents overfitting issues. …"
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    Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection حسب Faizul Rakib Sayem (21399890)

    منشور في 2024
    "…However, the limited number of trash image categories and the inadequacy of existing datasets have constrained the proper evaluation of machine learning model performance across a large number of waste classes. In this paper, we present robust waste image classification and object detection studies using deep learning models, utilizing 28 distinct recyclable categories of waste images comprising a total of 10,406 images. …"
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